Business intelligence, analytics, and data science : a managerial perspective

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Bibliographic Information

Business intelligence, analytics, and data science : a managerial perspective

Ramesh Sharda, Dursun Delen, Efraim Turban ; with contributions to previous editions by J. E. Aronson, Ting-Peng Liang, David King

Pearson, c2018

4th ed

Uniform Title

Business intelligence

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Includes index

Description and Table of Contents

Description

For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.

Table of Contents

Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science 3 Chapter 2 Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization 53 Chapter 3 Descriptive Analytics II: Business Intelligence and Data Warehousing 127 Chapter 4 Predictive Analytics I: Data Mining Process, Methods, and Algorithms 189 Chapter 5 Predictive Analytics II: Text, Web, and Social Media Analytics 247 Chapter 6 Prescriptive Analytics: Optimization and Simulation 319 Chapter 7 Big Data Concepts and Tools 369 Chapter 8 Future Trends, Privacy and Managerial Considerations in Analytics 417

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